Deep Learning, Language Understanding, and the Quest for Human Capacity Cognitive Computing

           Tweet Previous post Tags: AI, Cognitive Computing, Deep Learning, NLP, Recurrent Neural Networks To develop cognitive computing at human capacity understanding, deep learning research must heed what certain aspects of human symbol processing reveal about the architecture of the human mind. comments By Patrick Ehlen, Loop AI Labs. The world of deep learning research now seems to be divided into two major areas of pursuit: visual scene understanding and natural language understanding.The latter can be divided into subtasks that include speech recognition and various forms of semantic interpretation, such as translation. If you survey the papers at the major deep learning conferences (e.g., NIPS, ICLR, ICML), you’ll find many more papers focusing on methods for vision processing, and only a fraction on language processing. Of course, there…


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